Fundamentals of interactive computer graphics
Fundamentals of interactive computer graphics
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
GERTIS: a Dempster-Shafer approach to diagnosing hierarchical hypotheses
Communications of the ACM
The Combination of Evidence in the Transferable Belief Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Kalman filtering: theory and practice
Kalman filtering: theory and practice
Artificial Intelligence
Fuzzy evidential filter for detection and tracking of dim objects
Applied Mathematics and Computation
Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Integrated Person Tracking Using Stereo, Color, and Pattern Detection
International Journal of Computer Vision - Special issue on a special section on visual surveillance
M2Tracker: A Multi-View Approach to Segmenting and Tracking People in a Cluttered Scene
International Journal of Computer Vision
Contour Tracking by Stochastic Propagation of Conditional Density
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Multi View Image Surveillance and Tracking
MOTION '02 Proceedings of the Workshop on Motion and Video Computing
Multi-Camera Multi-Person Tracking for EasyLiving
VS '00 Proceedings of the Third IEEE International Workshop on Visual Surveillance (VS'2000)
Towards Vision-Based 3-D People Tracking in a Smart Room
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
Counting People in Crowds with a Real-Time Network of Simple Image Sensors
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Maintaining Multi-Modality through Mixture Tracking
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Skin Color-Based Video Segmentation under Time-Varying Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
MCMC-Based Particle Filtering for Tracking a Variable Number of Interacting Targets
IEEE Transactions on Pattern Analysis and Machine Intelligence
People detection and tracking using stereo vision and color
Image and Vision Computing
Multisensor triplet Markov chains and theory of evidence
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
ECM: An evidential version of the fuzzy c-means algorithm
Pattern Recognition
Depth silhouettes for gesture recognition
Pattern Recognition Letters
Adaptive multi-modal stereo people tracking without background modelling
Journal of Visual Communication and Image Representation
Multicamera People Tracking with a Probabilistic Occupancy Map
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
ACISP'07 Proceedings of the 12th Australasian conference on Information security and privacy
A multiview approach to tracking people in crowded scenes using a planar homography constraint
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
People detection and tracking through stereo vision for human-robot interaction
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
Sequential Monte Carlo methods for multiple target tracking anddata fusion
IEEE Transactions on Signal Processing
Risk assessment based on weak information using belief functions: a case study in water treatment
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Visual capture and understanding of hand pointing actions in a 3-D environment
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
EVCLUS: evidential clustering of proximity data
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Classification Using Belief Functions: Relationship Between Case-Based and Model-Based Approaches
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Real-time moving object segmentation in H.264 compressed domain based on approximate reasoning
International Journal of Approximate Reasoning
Hierarchical and conditional combination of belief functions induced by visual tracking
International Journal of Approximate Reasoning
Shape from silhouette using Dempster-Shafer theory
Pattern Recognition
International Journal of Approximate Reasoning
Approximate reasoning and finite state machines to the detection of actions in video sequences
International Journal of Approximate Reasoning
Particle filtering in the Dempster--Shafer theory
International Journal of Approximate Reasoning
Belief functions contextual discounting and canonical decompositions
International Journal of Approximate Reasoning
A skin detection approach based on the Dempster--Shafer theory of evidence
International Journal of Approximate Reasoning
A new fuzzy based algorithm for solving stereo vagueness in detecting and tracking people
International Journal of Approximate Reasoning
Shape from pairwise silhouettes for plan-view map generation
Image and Vision Computing
The conjunctive combination of interval-valued belief structures from dependent sources
International Journal of Approximate Reasoning
Theory of evidence for face detection and tracking
International Journal of Approximate Reasoning
Camera selection for tracking in distributed smart camera networks
ACM Transactions on Sensor Networks (TOSN)
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This work proposes a novel filtering algorithm that constitutes an extension of Bayesian particle filters to the Dempster-Shafer theory. Our proposal solves the multi-target problem by combining evidences from multiple heterogeneous and unreliable sensors. The modelling of uncertainty and absence of knowledge in our approach is specially attractive since it does not require to specify prior nor conditionals that might be difficult to obtain in complex problems. The algorithm is employed to propose a novel solution to the multi-camera people tracking problem in indoor environments. For each particle, the evidence of finding the person being tracked at the particle location is calculated by each sensor. Sensors also provide a degree of evidence about their reliability. The reliability is calculated based on the visible portion of the targets and their occlusions. Evidences collected from the camera set are fused considering their reliability to calculate the best hypothesis. The experiments conducted in several environments show the validity of the proposal.